monitoring

As drilling operations become increasingly digital, computer vision is emerging as a continuous safety layer that complements, not replaces, established safety practices. The challenge is no longer whether artificial intelligence can detect hazards, but how operators should deploy, integrate, and govern these systems to improve safety without adding operational comple…

This paper details the design and implementation of a subsea multiphase pump solution deployed in the Atlanta field designed to maximize reuse of existing subsea and topside equipment.

This work presents an evaluation for carbon capture, utilization, and storage projects in the UAE for two wells in a saline water aquifer with respect to caprock integrity and water sampling.

This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.

The authors write that deployment of artificial-intelligence-based high-gas/oil ratio well-control technology enabled stabilization of well performance and maintenance of optimal production conditions.

This paper describes an approach to creating a digital, interconnected workspace that aligns sensor data with operational context to place the completions engineer back into a central role.

This paper introduces an agentic artificial-intelligence framework designed for offshore production surveillance and intervention.

The paper describes a multientry multistage fracturing technology developed to enable longer laterals, increase stage counts, improve stimulation efficiencies, and derisk operations.

This paper presents a robust workflow to identify optimization opportunities in gas lift wells through real-time data analysis and a surveillance-by-exception methodology.

The objective of this study is to field test a non-nuclear multiphase flowmeter and assess its performance under challenging operating conditions.